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SymPerf: Predicting Network Function Performance

Published: 22 August 2017 Publication History

Abstract

The softwarization of networks provides a new degree of flexibility in network operation but its software components can result in unexpected runtime performance and erratic network behavior. This challenges the deployment of flexible software functions in performance critical (core) networks. To address this challenge, we present a methodology enabling the prediction of runtime performance and testing of functional behavior of Network Functions. Unlike traditional performance evaluation, e.g., testbed testing or simulation, our methodology can characterize the Network Function performance for any possible workload only by code analysis.

References

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Zaafar Ahmed, Muhammad Hamad Alizai, and Affan A. Syed. 2016. InKeV: InKernel Distributed Network Virtualization for DCN. ACM SIGCOMM Computer Communication Review 46, 3.
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Cristian Cadar and Koushik Sen. 2013. Symbolic Execution for Software Testing: Three Decades Later. Commun. ACM 56, 2 (2013), 82--90.
[3]
Marco Canini, Daniele Venzano, Peter Perešíni, Dejan Kostić, and Jennifer Rexford. 2012. A NICE Way to Test OpenFlow Applications. In Proceedings of the 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI).
[4]
Cilium Authors. 2017. Cilium: Helping Linux Secure Microservices. (2017). https://www.cilium.io/ {accessed 2017-07-13}.
[5]
Radu Stoenescu, Matei Popovici, Lorina Negreanu, and Costin Raiciu. 2016. Sym-Net: scalable symbolic execution for modern networks. In Proceedings of the ACM SIGCOMM 2016 Conference. ACM, 314--327.

Cited By

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  • (2024)Morpheus: A Run Time Compiler and Optimizer for Software Data PlanesIEEE/ACM Transactions on Networking10.1109/TNET.2023.334628632:3(2269-2284)Online publication date: 1-Jun-2024
  • (2022)Domain specific run time optimization for software data planesProceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems10.1145/3503222.3507769(1148-1164)Online publication date: 28-Feb-2022
  • (2021)Determination of throughput guarantees for processor-based SmartNICsProceedings of the 17th International Conference on emerging Networking EXperiments and Technologies10.1145/3485983.3494842(267-281)Online publication date: 2-Dec-2021
  • Show More Cited By

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Published In

cover image ACM Conferences
SIGCOMM Posters and Demos '17: Proceedings of the SIGCOMM Posters and Demos
August 2017
158 pages
ISBN:9781450350570
DOI:10.1145/3123878
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 August 2017

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Author Tags

  1. Measurements
  2. NFV
  3. Performance
  4. Reliability
  5. Symbolic Execution

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  • Poster
  • Research
  • Refereed limited

Funding Sources

Conference

SIGCOMM '17
Sponsor:
SIGCOMM '17: ACM SIGCOMM 2017 Conference
August 22 - 24, 2017
CA, Los Angeles, USA

Acceptance Rates

Overall Acceptance Rate 92 of 158 submissions, 58%

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Cited By

View all
  • (2024)Morpheus: A Run Time Compiler and Optimizer for Software Data PlanesIEEE/ACM Transactions on Networking10.1109/TNET.2023.334628632:3(2269-2284)Online publication date: 1-Jun-2024
  • (2022)Domain specific run time optimization for software data planesProceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems10.1145/3503222.3507769(1148-1164)Online publication date: 28-Feb-2022
  • (2021)Determination of throughput guarantees for processor-based SmartNICsProceedings of the 17th International Conference on emerging Networking EXperiments and Technologies10.1145/3485983.3494842(267-281)Online publication date: 2-Dec-2021
  • (2021)PPTMon: Real-Time and Fine-Grained Packet Processing Time Monitoring in Virtual Network FunctionsIEEE Transactions on Network and Service Management10.1109/TNSM.2021.310291518:4(4324-4336)Online publication date: Dec-2021
  • (2021)Online VNF Chaining and Predictive Scheduling: Optimality and Trade-OffsIEEE/ACM Transactions on Networking10.1109/TNET.2021.307242329:4(1867-1880)Online publication date: Aug-2021
  • (2020)Measuring End-to-end Packet Processing Time in Service Function Chaining2020 16th International Conference on Network and Service Management (CNSM)10.23919/CNSM50824.2020.9269109(1-9)Online publication date: 2-Nov-2020
  • (2020)Real-time Monitoring of Packet Processing Time for Virtual Network Functions2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS)10.23919/APNOMS50412.2020.9237057(138-143)Online publication date: Sep-2020
  • (2019)Optimizing Data Plane Programs for the NetworkProceedings of the ACM SIGCOMM 2019 Workshop on Networking and Programming Languages10.1145/3341561.3349590(1-1)Online publication date: 14-Aug-2019
  • (2019)KOMon — Kernel-based Online Monitoring of VNF Packet Processing Times2019 International Conference on Networked Systems (NetSys)10.1109/NetSys.2019.8854514(1-8)Online publication date: Mar-2019
  • (2019)Reducing Latency in Virtual Machines: Enabling Tactile Internet for Human-Machine Co-WorkingIEEE Journal on Selected Areas in Communications10.1109/JSAC.2019.290678837:5(1098-1116)Online publication date: May-2019
  • Show More Cited By

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